Apshan - Public Roadmap

Why We Do It

• Empower Fashion Professionals: To create a dedicated platform that connects fashion talents with opportunities and resources globally.
• Facilitate Networking: To provide a space where fashion professionals can collaborate, share knowledge, and grow their careers.
• Support Industry Growth: To drive innovation and progress within the fashion industry by connecting like-minded individuals and businesses.

What It Implies

• Global Community: Building a robust network of fashion professionals, including designers, educators, and industry experts.
• Comprehensive Features: Introducing tools and features that facilitate networking, collaboration, and continuous learning.
• Ongoing Development: Committing to the continuous enhancement of the platform based on user feedback and industry trends.

Purpose

• Connect Talent with Opportunities: To bridge the gap between fashion professionals and the opportunities that help them thrive.
• Enhance Career Development: To provide resources, mentorship, and tools that support the professional growth of our users.
• Foster Collaboration: To encourage collaboration and innovation within the fashion community.

Key Features

• Networking Tools: Features that allow users to connect, message, and collaborate with other fashion professionals.
• Community Forums: Discussion boards and forums where users can share advice, discuss trends, and seek guidance from peers.

Why We Do It

• Empower Fashion Talents: Enable fashion professionals to find the best partners independently.
• Streamline Partner Selection: Simplify the process of finding and selecting suppliers.
• Support Growth: Ensure access to a wide range of quality suppliers to foster business growth.

What It Implies

• Continuous Expansion: Adding hundreds of new suppliers every six months.
• Data Source Integration: Gathering data from hundreds of reliable sources.
• Filtering and Tagging: Meticulously filtering, tagging, and categorizing each supplier.
• Quality Assurance: Ensuring all suppliers meet our quality standards.

Purpose

• Facilitate Independence: Enable fashion talents to discover and connect with new partners on their own.
• Enhance Efficiency: Help users quickly find the right suppliers through a structured database.
• Promote Innovation: Encourage creativity and innovation by providing access to diverse suppliers.

Key Features

• Regular Updates: Hundreds of new suppliers added biannually.
• Comprehensive Categorization: Easy navigation with filtered, tagged, and categorized suppliers.
• Diverse Data Sources: Integration of data from numerous reliable sources.
• User Empowerment: Tool for fashion professionals to find quality partners independently.

By enhancing our suppliers database, we support fashion talents in efficiently finding and connecting with top-quality suppliers, fostering growth and innovation.

Our discussion forums will serve as a vibrant space where users can engage in conversations about the latest industry trends, share valuable advice, and network with their peers. These forums will be organized by topics of interest, allowing users to join discussions relevant to their fields. Whether you’re looking to stay updated on fashion innovations, seek career advice, or connect with industry professionals, our forums will provide a supportive and informative community for all users.

Why We Do It

• Ensure Quality: Help recruiters create top-notch job offers by providing a comprehensive rating system.
• Enhance Relevance: Ensure job postings are specific, clear, and attractive to the right candidates.
• Support Recruiters: Provide actionable feedback to improve job offer quality and effectiveness.

What It Implies

• Comprehensive Rating System: Nari evaluates job offers on key criteria such as relevance, clarity, completeness, and attractiveness.
• Actionable Feedback: Recruiters receive detailed suggestions to refine and optimize their job postings.
• High Standards: A rating of 85 out of 100 is required to consider a job offer fully relevant, encouraging high-quality postings.

Purpose

• Improve Job Offer Quality: Ensure that job postings are clear, specific, and appealing to attract the best talent.
• Enhance Recruitment Efficiency: Help recruiters identify and improve areas of their job offers to better meet candidate expectations.
• Facilitate Better Matches: Increase the chances of attracting candidates who truly fit the job requirements.

Key Features

• Detailed Evaluation: Job offers are rated based on criteria like relevance, clarity, completeness, and attractiveness.
• Actionable Insights: Provide specific suggestions and questions to help recruiters refine their job offers.
• High Relevance Standards: Encourage high-quality job postings by setting a standard rating of 85 out of 100 for full relevance.
• Linguistic Analysis: Utilize advanced linguistic analysis to ensure job offers use industry-specific language that resonates with candidates.

By utilizing the Nari engine for rating fashion job offers, we empower recruiters to create high-quality, targeted job postings that attract the right talent, improving the overall recruitment process.

Why We Do It

• Enhance Communication: Bridge the gap between recruiters and candidates by ensuring both parties speak the same language.
• Optimize Job Offers: Improve the quality and relevance of job offers through advanced copywriting.
• Support Recruitment: Facilitate a smoother recruitment process with precise and effective communication.

What It Implies

• Advanced Training: The Nari engine is continuously trained to understand and generate high-quality job offer copy.
• Language Alignment: Ensure that job offers resonate with the intended audience by matching the language of candidates and recruiters.
• Copywriting Excellence: Provide recruiters with suggestions and insights to craft compelling and targeted job descriptions.

Purpose

• Improve Relevance: Tailor job offers to attract the most suitable candidates by using language they relate to.
• Enhance Efficiency: Help recruiters save time and effort by automating the creation of precise and engaging job descriptions.
• Facilitate Matching: Ensure that job offers clearly communicate the requirements and attract candidates who truly fit the roles.

Key Features

• Continuous Learning: The Nari engine is constantly being trained to stay up-to-date with industry-specific terminology and trends.
• Insightful Suggestions: Provide actionable insights and suggestions to enhance job offer copy.
• Language Precision: Match the language used in job offers with the expertise and expectations of potential candidates.
• User-Friendly Interface: Easy-to-use tools for recruiters to create, edit, and optimize job descriptions.

By leveraging the Nari engine, we aim to revolutionize the recruitment process, making it more efficient and effective by ensuring job offers are well-crafted and resonate with the right candidates.

Why We Do It

• Increase Efficiency: To streamline the supplier selection process and save time for fashion professionals.
• Enhance Relevance: To ensure that users are matched with suppliers that best meet their specific requirements.
• Support Better Decision-Making: To provide data-driven insights that help users make informed choices.

What It Implies

• Advanced AI Algorithms: Implementing AI algorithms that analyze user needs and preferences to filter and recommend the most suitable suppliers.
• Real-Time Data Processing: Utilizing real-time data to ensure that supplier recommendations are up-to-date and relevant.
• User-Centric Approach: Focusing on the unique needs of each user to provide personalized supplier matches.

Purpose

• Optimize Supplier Selection: To help users find the best suppliers quickly and efficiently, tailored to their specific needs.
• Improve User Experience: To provide a seamless and intuitive experience by offering highly relevant supplier recommendations.
• Drive Industry Innovation: To leverage AI technology in revolutionizing how fashion professionals connect with suppliers.

Key Features

• Needs Analysis: The AI system will analyze user requirements, such as material types, production capabilities, location preferences, and more.
• Personalized Recommendations: Users will receive a curated list of suppliers that match their specific needs, improving the quality of connections.
• Dynamic Filtering: The AI will continuously update supplier recommendations based on changing user needs and market conditions.
• Integration with User Profiles: Supplier recommendations will be tailored based on the user's profile, past interactions, and stated preferences.
• Feedback Loop: Users can provide feedback on supplier matches, allowing the AI to learn and improve over time.

Intelligent Candidate Filtering:

• AI-Powered Screening: Implement advanced AI algorithms exclusively trained on fashion data to automatically screen and rank resumes based on job requirements and candidate qualifications.
• Keyword Matching: Use natural language processing (NLP) to match keywords and phrases in resumes with job descriptions, ensuring a more accurate fit.
• Skill Assessment: Analyze candidate skills and experiences to identify the best matches for each job opening.
• Bias Reduction: Integrate AI solutions designed to reduce unconscious bias in the screening process, promoting a more diverse and inclusive workforce.
• Feedback Loop: Continuously improve the AI algorithms through feedback from recruiters, ensuring that the system learns and adapts to changing needs and preferences.

Detailed Insights and Reporting:

• Candidate Engagement Metrics: Track and analyze how candidates interact with job postings, including views, clicks, and applications.
• Application Trends: Monitor the number of applications received over time and identify patterns or spikes in candidate interest.
• Recruitment Campaign Performance: Evaluate the effectiveness of different recruitment campaigns and strategies using data-driven insights.
• Custom Dashboards: Provide recruiters with customizable dashboards to visualize key metrics and track progress toward recruitment goals.
• Predictive Analytics: Use predictive models to forecast recruitment outcomes and optimize strategies for future hiring needs.

Building Trust with Peer Endorsements and Verified Credentials

We are introducing features for peer endorsements and verified credentials to foster trust and credibility within our community. Users will be able to endorse each other's skills and professional achievements, providing a robust validation of their expertise. Additionally, our platform will support credential verification, allowing users to showcase their verified qualifications. This will help recruiters confidently identify top talent and ensure that candidates stand out with authentic, endorsed profiles.

To enhance the job search experience, we are developing sophisticated algorithms that provide personalized job recommendations. These recommendations will be tailored to each user's profile, skills, and job preferences. By analyzing user data, preferences, and past interactions, our smart recommendations will ensure that users find the most relevant job opportunities without even applying for it, helping them advance their careers in the fashion industry with greater ease and precision.

Why We Do It

• Reduce Redundancy: To eliminate the need for users to manually enter the same information multiple times across platforms.
• Enhance Data Accuracy: To ensure that user profiles are consistently accurate and up-to-date by syncing with LinkedIn.
• Streamline Onboarding: To simplify the onboarding process for new users by importing their existing LinkedIn information.

What It Implies

• LinkedIn API Integration: Implementing LinkedIn's API to enable seamless extraction and synchronization of user data.
• Profile Import: Users can import their LinkedIn profiles to automatically populate their profiles on our platform.
• Continuous Sync: Regularly updating our platform with any changes made to the user's LinkedIn profile.

Purpose

• Simplify User Experience: To make it easier for users to set up and maintain their profiles by leveraging existing LinkedIn data.
• Improve Data Consistency: To ensure that user information is accurate and up-to-date across both platforms.
• Enhance Professional Profiles: To enrich user profiles with comprehensive and verified LinkedIn information.

Key Features

• Seamless Profile Import: Users can quickly import their LinkedIn profiles during the onboarding process to populate their information.
• Automatic Updates: Any changes made to the user's LinkedIn profile will be automatically synced with our platform.
• Data Enrichment: Enhance user profiles with detailed LinkedIn data, including work experience, education, skills, and endorsements.
• Streamlined Onboarding: Simplify the sign-up process by using LinkedIn credentials to create and populate user accounts.
• Profile Completeness: Encourage users to complete their profiles by highlighting sections imported from LinkedIn.

Why We Do It

• Enhance User Comfort: To reduce eye strain and provide a more comfortable viewing experience, especially in low-light environments.
• Cater to User Preferences: To offer an alternative design that meets the diverse preferences of our users.

What It Implies

• User Interface Redesign: Adapting the existing user interface to support a dark color scheme while maintaining readability and usability.
• Theme Toggle: Adding a feature that allows users to easily switch between light and dark modes.
• Consistency Across Devices: Ensuring that dark mode is consistent and functions well on all devices and platforms.

Purpose

• Improve User Experience: To enhance the overall user experience by providing a visually appealing and comfortable viewing option.
• Increase Accessibility: To make our platform more accessible to users who prefer or require a dark mode due to visual impairments or personal preference.

Key Features

• Theme Toggle: A simple switch in the settings menu that allows users to toggle between light and dark modes.
• Automatic Mode: An option for the platform to automatically switch to dark mode based on the user's device settings or time of day.
• Consistent Design: Ensuring all elements, including text, buttons, and backgrounds, are optimized for dark mode.
• Customizable Settings: Allowing users to customize certain aspects of the dark mode to suit their personal preferences.

To provide a seamless and on-the-go experience for our users, we are developing native mobile apps for both iOS and Android platforms. These apps will offer the full functionality of our platform, allowing users to search and apply for jobs, manage their profiles, and connect with industry professionals from their mobile devices. With intuitive navigation and real-time updates, our mobile apps will ensure that users stay engaged and informed, no matter where they are.

Mobile apps will feature push notifications to keep users informed about important updates and opportunities. Users will receive instant alerts for new job postings that match their preferences, application status updates, messages from recruiters, and upcoming events. These notifications will help users stay on top of their job search and professional interactions, ensuring they never miss an important update.